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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010410</journal-id>
      <journal-title>NIP &amp; Digital Fabrication Conference</journal-title>
      <abbrev-journal-title>nip digi fabric conf</abbrev-journal-title>
      <issn pub-type="ppub">2169-4451</issn><issn pub-type="epub"/>
      <publisher>
        <publisher-name>Society of Imaging Science and Technology</publisher-name>
        <publisher-loc>7003 Kilworth Lane, Springfield, VA 22151, USA</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta><article-id pub-id-type="doi">10.2352/ISSN.2169-4451.2011.27.1.art00033_1</article-id>
      <article-id pub-id-type="sici">2169-4451(20110101)2011:1L.128;1-</article-id>
      <article-id pub-id-type="publisher-id">nip_v2011n1/splitsection33.xml</article-id>
      <article-id pub-id-type="other">/ist/nipdf/2011/00002011/00000001/art00033</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>OaaS: Optimization as a Service</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Giannetti</surname>
            <given-names>Fabio</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>01</day>
        <month>01</month>
        <year>2011</year>
      </pub-date>
      <volume>2011</volume>
      <issue>1</issue>
      <fpage>128</fpage>
      <lpage>131</lpage>
      <permissions>
        <copyright-year>2011</copyright-year>
      </permissions>
      <abstract>
        <p>In any flexible manufacturing environment, like a Print Service Provider (PSP), there are fixed cost, related to job handling and machine set-up/cleaning. The Print Production is a complex environment where resources, devices and print jobs need to be coordinate and optimized to increase
 productivity and/or reduce cost.The inefficiencies can be significantly reduced, if production is analyzed as a whole and jobs are subject to optimization steps that streamline their production. The most common optimizations that can be performed are:&#x2022; Planning. This allows identifying
 the required steps to produce the job, given the set of currently available devices.&#x2022; Ganging. This operation physically places more than one job on a printed sheet or roll, enabling to significantly reduce job handling costs, paper waste and, if applicable mailing costs.&#x2022;
 Batching. This operation serializes the order in which several jobs are processed. This tends to minimize the set-up and cleaning time at various devices, increasing efficiency.The proposed approach eliminates the need of having such optimization components installed at the PSP premises
 providing a Pay-as-You-Go solution [1] as well as leveraging 3rd parties data and capabilities.</p>
      </abstract>
    </article-meta>
  </front>
</article>
